3 papers
eess.AS2025
Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt, Zheng-Hua Tan
Detecting occurrences of keywords with keyword spotting (KWS) systems requires thresholding continuous detection scores. Selecting appropriate thresholds is a non-trivial task, typ…
eess.AS2024
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
In multi-sample keyword spotting, each keyword class is represented by multiple spoken instances, called samples. A naïve approach to detect keywords in a target sequence consists…
eess.AS2023
TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping
Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt
To segment a signal into blocks to be analyzed, few-shot keyword spotting (KWS) systems often utilize a sliding window of fixed size. Because of the varying lengths of different ke…